Zhichao Wang
- Clinical Biochemistry top 2%
-
- Risk and Safety Analysis 6
- Immunology top 10%
-
- Multi-Criteria Decision Making 7
-
- Manufacturing Process and Optimization 7
-
- Advanced machining processes and optimization 7
- Advanced Measurement and Metrology Techniques 5
-
- Advanced Surface Polishing Techniques 5
-
- Fatigue and fracture mechanics 5
-
- Advanced Machining and Optimization Techniques 4
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zhichao Wang
75 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Clinical Biochemistry 170
- Statistics, Probability and Uncertainty 136
- Immunology 370
- Management Science and Operations Research 196
- Safety, Risk, Reliability and Quality 138
Countries citing papers authored by Zhichao Wang
This map shows the geographic impact of Zhichao Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhichao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhichao Wang more than expected).
Fields of papers citing papers by Zhichao Wang
This network shows the impact of papers produced by Zhichao Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhichao Wang. The network helps show where Zhichao Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhichao Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 3 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 33 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 41 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 11 | |
| 15 | 2022 | 51 | |
| 16 | 2022 | 3 | |
| 17 | 2021 | 14 | |
| 18 | Predicting creep rupture life of Ni-based single crystal superalloys using divide-and-conquer approach based machine learningbreakdown → | 2020 | 193 |
| 19 | 2018 | 1 | |
| 20 | HMGB proteins function as universal sentinels for nucleic-acid-mediated innate immune responsesbreakdown → | 2009 | 548 |
About Zhichao Wang
Zhichao Wang is a scholar working on Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering and Mechanical Engineering, having authored 81 papers that have together received 1.7k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (7 papers), Manufacturing Process and Optimization (7 papers), Advanced machining processes and optimization (7 papers), Risk and Safety Analysis (6 papers), Advanced Surface Polishing Techniques (5 papers), Advanced Measurement and Metrology Techniques (5 papers), Fatigue and fracture mechanics (5 papers) and Advanced Machining and Optimization Techniques (4 papers). The work is most often cited by research in Clinical Biochemistry (170 citations), Statistics, Probability and Uncertainty (136 citations) and Immunology (370 citations). Zhichao Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yan Ran, Genbao Zhang, Yifan Chen, Xin Yang, Tatsuma Ban, Sho Hangai, Marco E. Bianchi, Ryuji Koshiba, Tatsuhiko Kodama and Kenya Honda. Their work appears in journals such as Nature, Acta Materialia and Journal of Cleaner Production.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.